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Senior Azure Data Engineer — Hybrid Data Platform Lead

PricewaterhouseCoopers International

Toronto

Hybrid

CAD 80,000 - 110,000

Full time

Today
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Job summary

A leading professional services firm in Toronto is seeking a Senior Associate, Azure Data Engineer to design and implement robust data solutions on the Azure platform. The ideal candidate will have extensive experience in data engineering and cloud technologies, enabling the delivery of high-quality data solutions that support business operations. Responsibilities include architecting data pipelines, leading data model designs, and automating workflows, offering a competitive compensation package and a collaborative environment.

Benefits

Competitive compensation package
Inclusive benefits
Flexibility programs

Qualifications

  • 5‑7 years of hands‑on experience in a data engineering role.
  • Deep hands‑on expertise with core Azure data services.
  • Proven experience designing end‑to‑end data solutions.
  • Experience in healthcare data standards is a plus.

Responsibilities

  • Architect and develop robust data pipelines.
  • Lead design of advanced data models.
  • Develop ETL/ELT processes for diverse sources.
  • Automate data workflows using CI/CD practices.
  • Monitor and optimise data solutions for performance.

Skills

Microsoft Azure Data Engineer Associate certification
SQL
Python
PySpark
Data architecture understanding
Data quality assurance
Agile methodologies

Education

Bachelor's degree in computer science, Engineering, or related field

Tools

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure DevOps
Azure Data Lake Storage
Job description
A leading professional services firm in Toronto is seeking a Senior Associate, Azure Data Engineer to design and implement robust data solutions on the Azure platform. The ideal candidate will have extensive experience in data engineering and cloud technologies, enabling the delivery of high-quality data solutions that support business operations. Responsibilities include architecting data pipelines, leading data model designs, and automating workflows, offering a competitive compensation package and a collaborative environment.
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